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model: | |
base_learning_rate: 0.0001 | |
target: ldm.models.diffusion.ddpm.LatentDiffusion | |
params: | |
linear_start: 0.0015 | |
linear_end: 0.0195 | |
num_timesteps_cond: 1 | |
log_every_t: 200 | |
timesteps: 1000 | |
first_stage_key: image | |
cond_stage_key: class_label | |
image_size: 64 | |
channels: 3 | |
cond_stage_trainable: true | |
conditioning_key: crossattn | |
monitor: val/loss | |
use_ema: False | |
unet_config: | |
target: ldm.modules.diffusionmodules.openaimodel.UNetModel | |
params: | |
image_size: 64 | |
in_channels: 3 | |
out_channels: 3 | |
model_channels: 192 | |
attention_resolutions: | |
- 8 | |
- 4 | |
- 2 | |
num_res_blocks: 2 | |
channel_mult: | |
- 1 | |
- 2 | |
- 3 | |
- 5 | |
num_heads: 1 | |
use_spatial_transformer: true | |
transformer_depth: 1 | |
context_dim: 512 | |
first_stage_config: | |
target: ldm.models.autoencoder.VQModelInterface | |
params: | |
embed_dim: 3 | |
n_embed: 8192 | |
ddconfig: | |
double_z: false | |
z_channels: 3 | |
resolution: 256 | |
in_channels: 3 | |
out_ch: 3 | |
ch: 128 | |
ch_mult: | |
- 1 | |
- 2 | |
- 4 | |
num_res_blocks: 2 | |
attn_resolutions: [] | |
dropout: 0.0 | |
lossconfig: | |
target: torch.nn.Identity | |
cond_stage_config: | |
target: ldm.modules.encoders.modules.ClassEmbedder | |
params: | |
n_classes: 1001 | |
embed_dim: 512 | |
key: class_label | |